Virtual Gov Day - Introduction & Keynote - Alan Webber, IDC Government Insights

Copyright © 2014 Splunk Inc.
Virtual Gov Day
Bert Hayes
Solutions Engineer
Splunk

Agenda
1:00pm – Welcome & Keynote Presentation
Bert Hayes, Splunk
Alan Webber, IDC Government Insights
2:00pm – Splunk for Government: Customer Use Cases
Splunk Overview: Bert Hayes, Splunk
Security Use Case: Chris Letterman, State of Alaska
Business Analytics Use Case: Justin Boucher, DoD Healthcare
3:00pm – Concurrent Breakout Sessions
Splunk for Security
Glenn Keavney, Deloitte
Bert Hayes, Splunk
Splunk for IT Operations
Jennifer Green, Los Alamos National Security, LLC.
Jon Rooney, Splunk
Splunk for Application Delivery
Calvin Smith, Northrop Grumman Information Systems
Jon Thompson, Splunk
2

Finding Balance And Security
In A Big Data World
Alan Webber
Research Director
Government Insights

© IDC Visit us at IDC.com and follow us on Twitter: @IDC 4
Data Has Been
Around For A Long Time
 Bronze Age – Used Cuneiform
to record laws and
transactions (Hammurabi
Code)

Data Has Been
 Bronze Age – Used Cuneiform to
record laws and transactions
(Hammurabi Code)
 Paper records

Data Has Been
 Bronze Age – Used Cuneiform to
record laws and transactions
(Hammurabi Code)
 Paper records
 Electronic records and now
big data

Where We Came From
Falling Off The Tech
Cliff
Reestablishing A
Foundation
Going Forward

Where We Came From
 Paper Records

Where We Came From
 Paper Records
 Machine Based Records

Where We Came From
 Paper Records
 PC and Computer Era

Where We Came From
 Paper Records
 PC and Computer Era
 Still Very Mixed

Where We Came From
Cliff
Reestablishing A
Foundation
Going Forward

1st Platform – Mainframe And Terminals
13
 Switching from paper to electrons
 Still large question about efficiency
and effectiveness of electronic
business processes
 However paper doesn’t go away
 Establishment of the role of the CIO

2nd Platform – LAN/Internet And Client-
Server
14
 Institutionalization of networks and
the introduction of the Internet in
work processes
 Client-Servers began the
exponential growth curve in data
 Beginning of enterprise
transformation

3rd Platform – Taking Advantage Of
Connectedness
15
 Citizen/consumer transformation
pushes enterprise transformation
 New platforms
 New engagement models for
Government
 New decision makers
 Government continues focus on
operational efficiency
 New Government focus on
• Outcomes versus outputs
• Innovation

Innovation Accelerators Driving
Disruption And More Change
16
 Innovation
accelerators will
accelerate the rate of
change in enterprises
 All of these will affect
government, though
IoT, Cognitive
Systems, and Next
Gen Security will be
the big ones

CIO’s Are Being Overwhelmed With
Data
 CIO’s are often unprepared

Data
 CIO’s are often unprepared.
 Multiple types of records
 Paper
 Digital
 Machine data

Source: IDC Global Technology and Industry Research Organization IT Survey, May 2013 N= 182
Q. What type of data are being captured and analyzed in your organization?
Data, Data Everywhere
 Sources – Internal v. External
 Type – Structured v. Unstructured
 Issues
 Quality
 Security

Government Data Does Not Support
Optimal Decisionmaking
20
To what extent do you agree with the following characteristics of the data
available in your organization ? (Respondents Selecting “Agree” or Completely Agree”)
N = 98
Source: IDC's 2013 BIG Data Survey - March 2014
0
10
20
30
40
50
60
70
80
Secure Actionable Timely Trusted Clean Complete Granular
(%)

Data
 CIO’s are often unprepared and lack
necessary resources
 Multiple types of records
 Paper
 Digital
 Machine data
 Trend will only continue and will
grow

Where We Came From
Cliff
Reestablishing A
Foundation
Going Forward
Image used under a Creative Commons Attribution License from Flickr at
https://www.flickr.com/photos/grongar/4483840743/

Operational Intelligence is a type of real-time and
dynamic business analytics that is designed to deliver
visibility and insight into streaming data, events, and
business operations allowing CIO’s and other executives
to make decisions and speed actions based upon real-
time insights and intelligence.
Operational Intelligence Definition

Operational Intelligence Stack
Decision Support
& Automation Interface
Analytics &
Discovery
Data Organization
& Management
Data Sources
The foundation of the stack includes all current
and potential data sources
Refers to software that processes and prepares
all types of data for analysis. This layer extracts,
cleanses, normalizes, tags, and integrates data.
This layer includes software for ad-hoc
discovery, and deep analytics and software that
supports real-time analysis and automated,
rules-based transactional decision making.
Applications with functionality required to
support collaboration, scenario evaluation,
risk management, and decision capture
and retention

Time Factor
 Time is a key issue
 Downtime of mission critical
applications
 Delayed identification and
notification of breaches
 Poor citizen services.

Use Cases For Operational Intelligence
 Security, Compliance, and Fraud
 Government is a prime target
Source: http://hackmageddon.com/

 Ability to detect and to respond

 Ability to detect and to respond
 Example – State Department
and the White House

 IT Operations
 Use of Multiple Systems

 IT Operations
 Understand Activities On and
The Health of The Network

 IT Operations
 Understand Activities On The
Network
 Improve Efficiency And
Effectiveness

 IT Operations
 Understand Activities On The
Network
 Improve Efficiency And
Effectiveness
 Example: Healthcare.gov

 IT Operations
 Industrial Data And IoT
 Sensors everywhere

 IT Operations
 Different types of sensors

 IT Operations
 Washington DC Example

 IT Operations
 Washington DC Example
 Southern Border Example

Where We Came From
Cliff
Reestablishing A
Foundation
Going Forward
Image used under a Creative Commons Attribution License from Flickr at
https://www.flickr.com/photos/klengel/16916875917/

Moving Forward
 The Future Role of the CIO

Data
Responsibility for
data generation
and management
as CTO takes
technology role
Information
Being able to take
data and clarify
what it means
within that context
Intelligence
Deep knowledge
that leads to
actions both now
and about the
future
Knowledge
Taking data and
information within
that specific
context and within
the larger
organizational
and external
context
Technology
Primarily
responsible for
management of
hardware and
software – nuts
and bolts
Changing Role Of The CIO

Moving Forward
 The Future Role of the CIO
 Having The Right Tools

Thank You
Join me and your peers and the conversations in
our IDC Government Insights Community
http://idc-insights-community.com/government
Alan Webber
Research Director, Digital Government Innovation and Transformation
IDC Government Insights
awebber@idc.com
@alanwebber

Virtual Gov Day - Introduction & Keynote - Alan Webber, IDC Government Insights

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